
Innovative Machine Learning Solutions Specialist
1 day ago
We are seeking a skilled Machine Learning Engineer to design and implement innovative machine learning models.
- Collect, clean, and preprocess large datasets for model training and validation.
- Design and implement machine learning models (regression, classification, NLP, deep learning, etc.).
- Perform feature engineering and hyperparameter tuning.
- Collaborate with data engineers to integrate models into applications and APIs.
- Ensure model accuracy, explainability, and performance through testing and validation.
Key Responsibilities:
Job DescriptionA highly motivated individual is required to work on cutting-edge projects. The selected candidate will be responsible for collecting, cleaning, and preprocessing large datasets for model training and validation. He or she will design and implement machine learning models, perform feature engineering and hyperparameter tuning, collaborate with data engineers to integrate models into applications and APIs, and ensure model accuracy, explainability, and performance through testing and validation.
The ideal candidate will have strong Python skills with libraries such as scikit-learn, TensorFlow, PyTorch. He or she should also be proficient in SQL, data wrangling, and feature engineering, as well as have hands-on experience deploying ML models via APIs or cloud platforms (AWS, GCP, Azure).
Required Skills & QualificationsBachelor's/Master's degree in Computer Science, Data Science, or related field.
4-8 years of experience in ML model development.
Strong Python skills with libraries such as scikit-learn, TensorFlow, PyTorch.
Hands-on experience with SQL, data wrangling, and feature engineering.
Experience deploying ML models via APIs or cloud platforms (AWS, GCP, Azure).
Good understanding of statistics and model evaluation techniques.
BenefitsThis role offers a dynamic work environment and opportunities for professional growth and development. The ideal candidate will have the chance to work on cutting-edge projects and contribute to the success of the organization.
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